The point of autoML from what I've gathered is to make it as easy as can be to get a model working in production. AutoML at least AutoML Vision is using transfer learning to retrain X number of layers from their algorithm (the one google uses is escaping me right now). The number of layers it has to retrain is the value they offer, it tries and tries optimizing for accuracy.
I've had good results with it, but you do have to do things their way and its not always well documented. If you want more control you should create your own model and host it on google app engine, otherwise AutoML is what it is, no way to customize or tune it other than changing the training data you give it.
When I attended Hack Reactor they did tell us not to push them. However since they didn't teach us git (they expected us to know it) many still pushed them up. You would know because they'd get an email from some random company/person letting them know that they found their secret keys and that they should enroll/buy their services if they don't know what they're doing. Luckily no one from my class got hosed, but others in the past had.
I've been working on solar powered Peltier AC for my home. This past summer it was able to keep my living room (250sqft) at a comfortable 72F - 75F even when the outside temp was over 95F. It is crazy power hungry, using 12v 5A, but with solar its fine. The hard part as people have said is the heat dissipation and dealing with high ambient temperatures.
My newest design incorporates a few new upgrades. 1) geothermal cooling to dissipate the heat. As the ground temperature stays consistent at ~65F. Allowing me to not worry about the ambient temperature anymore 2) I moved to a 24V 6amp peltier which has a larger delta from the hot to cold side. 3) I now use a 24v ~7.6amp solar panel to power it. 4) I added a 15 Amp high-power motor driver so I can switch between producing cold and hot air. So now it will be viable in all weather conditions.
A core idea is to keep costs cheap which is why I have not added a battery to the mix. Although it would be nice as some nights are quite hot. I got the 24v panel used at $50 and the peltiers are super cheap (3 for ~15). The motor-controller/h-bridge was ~$40, but I didn't want to cheap out on that though and start a fire.
Its quiet unless I turn the fans up and doesn't cost anything to run after initial setup costs, due to the solar. My future plans for making it even better are to use multi-stage peltiers and try to leverage the hot side to produce more power. Also to add raspberry pi so I can control it remotely.
I use geothermal as a way to absorb/dissipate the heat. I got the idea from here: https://forums.overclockers.com.au/threads/concrete-slab-wat...
Instead though I dug a trench outside that was 4ft deep 20ft long and then buried some pex pipe. As the water flows into the aluminum block attached to the peltier it absorbs the heat and then as it enters the ground it dissipates so when it comes out of the ground of its back at 55F. The water is moved with a 12v pump. The longer the run the better as the ground is not efficient in energy transfer. If its to short it wont cool down all the way.
I thought of trying to use copper pipe with round engine heat sinks attached to it, to increase the energy transfer rate. However it didn't seem like the copper would last long before potentially reacting with the ground.
Why not buy another 20amp charge controller, they are like $20?
I ran into similar problems when I was trying to make my own solar AC this summer. I found the best solution for a budget build is to use used panels. Instead of being able to afford 1 I could get 3. Now I have enough power to charge my battery fully and run the AC.
Hey, man, can you drop me an email at robbpseaton at gmail dot com? I have some questions about what sort of initial structure you'd choose to build on your land if you were to do it all over again. I'm interested in doing something similar.
I've had good results with it, but you do have to do things their way and its not always well documented. If you want more control you should create your own model and host it on google app engine, otherwise AutoML is what it is, no way to customize or tune it other than changing the training data you give it.